Triple

T3100070
Position Surface form Disambiguated ID Type / Status
Subject British embassies E64692 entity
Predicate internalSecurityProvidedBy P8728 FINISHED
Object United Kingdom security staff LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: United Kingdom security staff | Statement: [British embassies, internalSecurityProvidedBy, United Kingdom security staff]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: internalSecurityProvidedBy
Context triple: [British embassies, internalSecurityProvidedBy, United Kingdom security staff]
  • A. hasSecurityArchitecture
    Indicates that an entity is associated with or defined by a particular security architecture design or framework.
  • B. hasSecurityNotion
    Indicates that one entity possesses, defines, or is associated with a particular concept or notion of security in relation to another entity or context.
  • C. securityArrangementsBy chosen
    Indicates that one entity is responsible for providing, organizing, or overseeing security arrangements for another entity or situation.
  • D. relatedSecurity
    Indicates that one security has a defined relationship or association with another security, such as dependency, linkage, or relevance.
  • E. hasSecurityPresence
    Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26b03a081909cf187b9a8f805ce completed March 8, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69ad9df06ed88190809f0683122caa5a completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:03 p.m.